Jul 30, 2019
This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...
Aug 08, 2018
Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!
von Tiffany W S•
Sep 25, 2018
This course and the following course "Data Analysis with Python" should be switched. It's mentioned that "Data Analysis with Python" should be completed before this one but they are in the reverse order.
von Teodor-George C•
Oct 30, 2018
good basics + interesting things like maps. Only 4 stars because I find map visualization interesting but not very useful
von Oriana R•
Nov 01, 2018
Honestly, out of all the courses I've taken so far, this one was the best, in terms of presentation. The instructor repeated a lot of the formatting for each code block and by the end, one could easily remember what code to use for the specific visualizations.
The only reason I did not give 5 stars was because I thought the final assignment deviated a bit, but otherwise, a good course.
von Alexej Z•
Nov 01, 2018
Some tests are not comprehensible in their entirety and can only be carried out with a great deal of effort. Otherwise very good content. I could learn a lot.
von Gajula J•
Jul 26, 2018
nice course but needs few improvements, screen recordings needed rather than slides.
von Raj K•
Jul 09, 2018
Great course :)
von Nigel A R H•
Apr 16, 2019
Notebooks are very practical
von Phenil B•
Apr 17, 2019
Videos were short and could have explained the lab work better. Also, the Data was discussed in every single video which was annoying and I always skipped 30 seconds in every video.
The course itself is nice.
von Sili L•
May 01, 2019
The class is too short to get into much details. The projects are much harder than those practice labs.
von Teofilo E d A e S•
Apr 30, 2019
Complex and need more information.
von Veronica A S•
Apr 28, 2019
von Benoit P D•
Apr 28, 2019
I learnt a lot about pandas, matplotlib, seaborne, data visualization (different types of plots), folium and wordcount. Overall the course is very good. The jupyter notebook assignments are very nice. Folium is fairly bleeding edge so a lot has changed between the last version of the library and the one currently used by the assignment.
Apr 04, 2019
The last section of advance Visualization lab could have been more better
von Troy S•
Mar 25, 2019
Much harder than the other courses.
von krantiveer s•
Apr 08, 2019
great course content but it should be more disciptive
von Vincent Z•
Mar 29, 2019
The most interesting course in the specialization up to now, for me at least. A brief but informative overview of all kind of plots that can be done on pandas dataframes.
To the course author: repeating the data wrangling/cleanup in EVERY video gets annoying.
von Florent M•
May 07, 2019
Cours intéressant et évaluation pertinente. Il est cependant plus optimal de s'appuyer sur des ressources externes pour avoir accès à des mémos sur Pandas et Matplotlib (il y a de très bons sites là-dessus).
May 25, 2019
Increase my knowledge immensely.
von Mahvash N•
May 16, 2019
More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums.
von Nicholas J F•
May 27, 2019
Good content, but again, in the final problem resources beyond the scope of the course were required.
von Amy P•
May 26, 2019
Once again, quality hands-on labs were the highlight of this course (as has been the case throughout the IBM Data Science Certificate courses). The end-of-week quizzes were also a bit more difficult/involved, which was a good challenge. Still, I think there's room to increase the difficulty a bit further - after all, you can re-take the quizzes if at first you don't pass. I appreciated that the final project gave us the opportunity to apply a wide range of the skills that we learned.
That being said, I think there was quite a bit of fluff in the lectures. I would have preferred more content/exposure to other libraries rather than the redundant "data recaps" at the beginning of almost every video. I also would have appreciated more theory/recommendations for selecting the best visualization for a given application.
von Matthew A•
May 28, 2019
OK overall - but I wish there were more and smaller hands-on exercises. Also, waiting to load 3rd party libraries in exercises is quite slow (3-5 mins for choropleth, for example) - it would be nice if these could be pre-loaded somehow.
von Frank S•
May 19, 2019
To much emphesis in the quiz on terrian tiles - that is something you can look up, seem no reasonable to know by hard.
von Tal H•
Jun 14, 2019
the course is great, however, I think matplotlib's structure should have been explained in greater detail, this would help the student to accelerate the understanding of the library's documentation and implement his visualizing needs.
von Niladri B P•
Jun 07, 2019
Excellent lab material. However, I feel the video lectures were a bit too brief and could have tried to explain the technical concepts a little bit more.